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IROS
2008
IEEE
125views Robotics» more  IROS 2008»
14 years 4 months ago
Dynamic correlation matrix based multi-Q learning for a multi-robot system
—Multi-robot reinforcement learning is a very challenging area due to several issues, such as large state spaces, difficulty in reward assignment, nondeterministic action selecti...
Hongliang Guo, Yan Meng
GLVLSI
2006
IEEE
155views VLSI» more  GLVLSI 2006»
14 years 4 months ago
Dynamic voltage scaling for multitasking real-time systems with uncertain execution time
Dynamic voltage scaling (DVS) for real-time systems has been extensively studied to save energy. Previous studies consider the probabilistic distributions of tasks’ execution ti...
Changjiu Xian, Yung-Hsiang Lu
HICSS
2002
IEEE
124views Biometrics» more  HICSS 2002»
14 years 3 months ago
Dynamics, Criticality and Self-Organization in a Model for Blackouts in Power Transmission Systems
A model has been developed to study the global complex dynamics of a series of blackouts in power transmission systems [1, 2]. This model has included a simple level of self-organ...
Benjamin A. Carreras, Vickie E. Lynch, Ian Dobson,...
IPPS
2000
IEEE
14 years 2 months ago
Network Survivability Simulation of a Commercially Deployed Dynamic Routing System Protocol
With the ever-increasing demands on server applications, many new server services are distributed in nature. We evaluated one hundred deployed systems and found that over a one-yea...
Abdur Chowdhury, Ophir Frieder, Paul Luse, Peng-Ju...
AAAI
2006
13 years 11 months ago
Mixtures of Predictive Linear Gaussian Models for Nonlinear, Stochastic Dynamical Systems
The Predictive Linear Gaussian model (or PLG) improves upon traditional linear dynamical system models by using a predictive representation of state, which makes consistent parame...
David Wingate, Satinder P. Singh